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TrueSkill: ベイズ的スキル評価による競技ランキング×ベイズ推論×Elo Rating×
分野意思決定統計学意思決定
系統Regression modelBayesian methodsRegression model
提唱年200717631978
提唱者Ralf Herbrich, Tom Minka & Thore GraepelThomas Bayes; Pierre-Simon LaplaceArpad Elo
種類Probabilistic ranking modelProbabilistic inference paradigmPairwise comparison ranking model
原典Herbrich, R., Minka, T., & Graepel, T. (2007). TrueSkill: A Bayesian skill rating system. Advances in Neural Information Processing Systems, 19, 569–576. link ↗Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418. link ↗Elo, A. E. (1978). The Rating of Chessplayers, Past and Present. Arco Publishing. ISBN: 978-0-668-04721-0
別名Bayesian Skill Rating, TrueSkill Ranking System, Gaussian Skill Model, Beceri Derecelendirme ModeliBayes inference, Bayesian statistics, Bayesian updating, posterior inferenceElo Rating System, Elo Chess Rating, Elo Skill Rating, Elo Derecelendirme Sistemi
関連332
概要TrueSkill is a Bayesian skill rating system developed by Herbrich, Minka, and Graepel at Microsoft Research and introduced at NeurIPS 2006. It represents each player's skill as a Gaussian distribution parameterized by a mean (estimated skill) and a variance (uncertainty). After each match outcome, the system updates these distributions via approximate message passing, yielding a principled ranking that handles team games, draws, and partial observations in online settings.Bayesian inference is a statistical paradigm in which probability represents degrees of belief rather than long-run frequencies. It encodes prior knowledge about parameters in a prior distribution, combines that prior with the likelihood of observed data via Bayes' theorem, and produces a posterior distribution that quantifies updated uncertainty. The foundational theorem was published posthumously by Thomas Bayes in 1763 and subsequently systematized by Pierre-Simon Laplace in his 1812 Théorie analytique des probabilités.The Elo Rating System is a pairwise comparison-based ranking method developed by Hungarian-American physicist and chess master Arpad Elo and formally published in 1978. Originally designed to assess the relative skill levels of chess players, it assigns each competitor a numerical rating that rises or falls after each encounter based on the expected versus actual outcome. The system assumes that player performance follows a logistic distribution, enabling probabilistic predictions of match results and continuous rating refinement over time.
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ScholarGate手法を比較: TrueSkill · Bayesian Inference · Elo Rating. 2026-06-18に以下より取得 https://scholargate.app/ja/compare